Team
The people behind Arelis
Practitioners in AI governance, data engineering and machine learning. We build AIMS for the problems we have had to solve ourselves.
Ramon Marrero
CEO · 15+ years
15+ years building distributed, cloud-native data and AI products. 7 years leading high-performing teams.
Full bio
Leader with 15+ years building distributed, cloud-native data and AI products with 7 years leading high-performing teams. Experience leading ML platform development serving millions of users across multiple products and regions. Proven expert in designing secure, scalable AI/ML services and APIs that translate cutting-edge research into reliable, revenue-generating products.
I bring a rare combination of hands-on platform engineering, product strategy, and executive leadership, with deep expertise in AI governance, responsible AI, and emerging standards such as the EU AI Act, GDPR, and ISO 42001. My work focuses on democratizing AI capabilities across product portfolios while ensuring compliance, trust, and enterprise-grade reliability—enabling organizations to move from experimentation to production with confidence.
I thrive at the intersection of product, engineering, and business, advising global organizations on AI adoption, speaking at leading AI and data conferences, and translating complex technical concepts into clear narratives for executives and customers. My leadership style balances startup agility with enterprise rigor, consistently taking products from zero to production at scale.
- AI product strategy & platform architecture
- AI governance & compliance (EU AI Act, GDPR, ISO 42001)
- Data/ML/MLOps at scale (15+ years)
- Cross-functional leadership
- Executive communication & keynote speaking
- Fundraising & investor relations
Pawan Kumar
Head of AI · 7+ years
7+ years AI/ML experience. Specializes in LLM-driven agentic applications and scalable AI systems.
Full bio
With 7+ years of AI/ML experience and currently working as a Lead GenAI/ML Engineer, I specialize in designing and deploying advanced LLM-driven agentic applications. My focus is on building scalable, robust, and responsible AI systems that address complex business challenges through frameworks like LangChain and cutting-edge RAG techniques.
I have a strong track record of translating product vision into cloud-native, microservices-based architectures, ensuring scalability and reliability from design to production. My technical leadership spans the full lifecycle, from solution design to observability and monitoring with tools such as Datadog and Databricks.
Deeply engaged with the fast-evolving AI landscape, I stay current with fine-tuning, RLHF, and prompt engineering innovations. I'm equally passionate about mentoring and enabling teams, fostering technical excellence, and driving delivery of high-impact AI solutions.
Beyond my role, I contribute actively to the ML and GenAI community on GitHub and Medium, believing in open collaboration and knowledge sharing as the cornerstone of building the future of AI.
- LLM & Agentic Applications
- RAG & LangChain frameworks
- Cloud-native architectures
- MLOps & Observability
- Team mentoring
- Open source contribution
Suman Bhattacharjee
Senior Data Engineer · 17+ years
17+ years in Data Engineering. Builds scalable data platforms powering AI/ML intelligence and real-time analytics.
Full bio
With over 17 years of experience in Data Engineering, I specialize in building scalable, cutting-edge data platforms that power AI/ML intelligence, real-time analytics, and data-driven decisions. At DISH Digital Solutions GmbH, I lead initiatives to architect and optimize data ecosystems using cloud-native tools and next-gen pipelines.
I'm passionate about designing modern data architectures that not only deliver robust performance but are also AI/ML-ready—laying the foundation for predictive insights, personalization, and automation at scale. I believe great data engineering is the cornerstone of digital transformation.
Past Engagements & Clients: Led data engineering projects for Fortune 500 and global clients including McDonald's (Scalable ingestion & real-time analytics), Fiserv (Architecture modernization & data warehouse optimization), John Wiley & Sons (AI-powered content analytics integration), and Alliance Rosno RSA Group (Enterprise data migration & regulatory reporting).
Also a Salesforce to Odoo Migration Specialist and skilled in prepping pipelines for ML workflows—feature store engineering, labeling, and orchestration via Airflow, Cloud Functions, and CI/CD with MLOps best practices.
- Data Platform Architecture
- Real-time Analytics
- Cloud-native Pipelines
- AI/ML Data Engineering
- Enterprise Migrations
- MLOps & Orchestration
Sai Mammahi
Data Architect · 9+ years
9+ years as Data Engineer. Masters in CS from Middlesex University London. Leads Data Engineering teams.
Full bio
Over 9+ years as a Data Engineer with expertise in designing and implementing data solutions. Masters in Computer Science from Middlesex University London.
Currently leading a dynamic Data Engineering team and working as a Data Architect, creating robust data architecture frameworks. Proficient in building Gen-AI Solutions and APIs for seamless data integration.
Proven track record of driving successful data projects from inception to implementation. Expertise in a wide range of data technologies and tools. Skilled in optimising data pipelines for efficiency and scalability. Passionate about leveraging data to drive strategic business decisions.
- Data Architecture Design
- Gen-AI Solutions & APIs
- Team Leadership
- Pipeline Optimization
- Data Strategy
- Enterprise Data Solutions
Gopi Kiran Gogineni
AI Engineer · 8+ years
8+ years architecting scalable data solutions across GCP, AWS, and Azure.
Full bio
I am a Senior Data Engineer with over 8 years of experience architecting, developing, and optimizing scalable data solutions across leading cloud platforms — Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure. My passion lies in transforming complex data into actionable insights through robust ETL pipelines, advanced data modeling, and cloud-native architectures.
At DISH Digital Solutions GmbH, I lead initiatives that leverage PySpark, Dataflow, and Databricks to build highly performant, resilient data infrastructures that power AI and machine learning (ML) workloads. I collaborate cross-functionally with data scientists, ML engineers, and product teams to accelerate data-driven innovation and operational excellence.
My expertise includes designing data lakes and warehouses, streamlining batch and real-time data processing, implementing Infrastructure as Code (IaC) with Terraform, and deploying CI/CD pipelines to ensure reliable and automated delivery. I am deeply committed to data quality, governance, and security, enabling scalable analytics and AI applications that drive business value.
I thrive in fast-paced environments where innovation meets precision, continuously exploring emerging technologies to deliver forward-thinking data solutions.
- Multi-cloud Architecture
- PySpark & Databricks
- Data Lakes & Warehouses
- ETL Pipeline Design
- Infrastructure as Code
- CI/CD & DevOps
Vineeth Shyam
Lead AI Engineer · 10+ years
10+ years in Information services. Masters in Data & Knowledge Engineering. NLP and ML expert.
Full bio
Data Scientist with 10+ years of experience in the Information services, with a strong background in Data engineering and Business Intelligence skills, excellent interpersonal skills and the ability to find innovative solutions.
Master student in Data and Knowledge Engineering and PG in Management Information Systems with deep knowledge on Natural Language Processing, Opinion mining, Sentiment Analysis, Machine Learning, Data mining and Business Intelligence.
- Natural Language Processing
- Sentiment Analysis
- Machine Learning
- Data Mining
- Business Intelligence
- Knowledge Engineering
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